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bab9976d9a
* Adjust Table API and add docs * Add attributes and update description [ci skip] * Use strings.get_string_id instead of hash_string * Fix table method calls * Make orth arg in Lemmatizer.lookup optional Fall back to string, which is now handled by Table.__contains__ out-of-the-box * Fix method name * Auto-format
144 lines
3.7 KiB
Python
144 lines
3.7 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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# Calling the Lemmatizer directly
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# Imitates behavior of:
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# Tagger.set_annotations()
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# -> vocab.morphology.assign_tag_id()
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# -> vocab.morphology.assign_tag_id()
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# -> Token.tag.__set__
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# -> vocab.morphology.assign_tag(...)
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# -> ... -> Morphology.assign_tag(...)
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# -> self.lemmatize(analysis.tag.pos, token.lex.orth,
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noun_irreg_lemmatization_cases = [
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("volkeren", "volk"),
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("vaatje", "vat"),
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("verboden", "verbod"),
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("ijsje", "ijsje"),
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("slagen", "slag"),
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("verdragen", "verdrag"),
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("verloven", "verlof"),
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("gebeden", "gebed"),
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("gaten", "gat"),
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("staven", "staf"),
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("aquariums", "aquarium"),
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("podia", "podium"),
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("holen", "hol"),
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("lammeren", "lam"),
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("bevelen", "bevel"),
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("wegen", "weg"),
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("moeilijkheden", "moeilijkheid"),
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("aanwezigheden", "aanwezigheid"),
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("goden", "god"),
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("loten", "lot"),
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("kaarsen", "kaars"),
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("leden", "lid"),
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("glaasje", "glas"),
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("eieren", "ei"),
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("vatten", "vat"),
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("kalveren", "kalf"),
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("padden", "pad"),
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("smeden", "smid"),
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("genen", "gen"),
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("beenderen", "been"),
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]
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verb_irreg_lemmatization_cases = [
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("liep", "lopen"),
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("hief", "heffen"),
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("begon", "beginnen"),
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("sla", "slaan"),
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("aangekomen", "aankomen"),
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("sproot", "spruiten"),
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("waart", "zijn"),
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("snoof", "snuiven"),
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("spoot", "spuiten"),
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("ontbeet", "ontbijten"),
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("gehouwen", "houwen"),
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("afgewassen", "afwassen"),
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("deed", "doen"),
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("schoven", "schuiven"),
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("gelogen", "liegen"),
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("woog", "wegen"),
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("gebraden", "braden"),
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("smolten", "smelten"),
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("riep", "roepen"),
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("aangedaan", "aandoen"),
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("vermeden", "vermijden"),
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("stootten", "stoten"),
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("ging", "gaan"),
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("geschoren", "scheren"),
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("gesponnen", "spinnen"),
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("reden", "rijden"),
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("zochten", "zoeken"),
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("leed", "lijden"),
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("verzonnen", "verzinnen"),
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]
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@pytest.mark.parametrize("text,lemma", noun_irreg_lemmatization_cases)
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def test_nl_lemmatizer_noun_lemmas_irreg(nl_lemmatizer, text, lemma):
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pos = "noun"
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lemmas_pred = nl_lemmatizer(text, pos)
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assert lemma == sorted(lemmas_pred)[0]
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@pytest.mark.parametrize("text,lemma", verb_irreg_lemmatization_cases)
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def test_nl_lemmatizer_verb_lemmas_irreg(nl_lemmatizer, text, lemma):
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pos = "verb"
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lemmas_pred = nl_lemmatizer(text, pos)
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assert lemma == sorted(lemmas_pred)[0]
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@pytest.mark.skip
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@pytest.mark.parametrize("text,lemma", [])
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def test_nl_lemmatizer_verb_lemmas_reg(nl_lemmatizer, text, lemma):
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# TODO: add test
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pass
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@pytest.mark.skip
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@pytest.mark.parametrize("text,lemma", [])
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def test_nl_lemmatizer_adjective_lemmas(nl_lemmatizer, text, lemma):
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# TODO: add test
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pass
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@pytest.mark.skip
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@pytest.mark.parametrize("text,lemma", [])
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def test_nl_lemmatizer_determiner_lemmas(nl_lemmatizer, text, lemma):
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# TODO: add test
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pass
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@pytest.mark.skip
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@pytest.mark.parametrize("text,lemma", [])
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def test_nl_lemmatizer_adverb_lemmas(nl_lemmatizer, text, lemma):
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# TODO: add test
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pass
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@pytest.mark.parametrize("text,lemma", [])
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def test_nl_lemmatizer_pronoun_lemmas(nl_lemmatizer, text, lemma):
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# TODO: add test
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pass
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# Using the lemma lookup table only
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@pytest.mark.parametrize("text,lemma", noun_irreg_lemmatization_cases)
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def test_nl_lemmatizer_lookup_noun(nl_lemmatizer, text, lemma):
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lemma_pred = nl_lemmatizer.lookup(text)
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assert lemma_pred in (lemma, text)
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@pytest.mark.parametrize("text,lemma", verb_irreg_lemmatization_cases)
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def test_nl_lemmatizer_lookup_verb(nl_lemmatizer, text, lemma):
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lemma_pred = nl_lemmatizer.lookup(text)
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assert lemma_pred in (lemma, text)
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